Insure-AI is an independent organisation that solves complex, industry-wide Insurance problems based on Federated Learning and Predictive AI to the benefit of companies, their employees, and their customers.
Artificial Intelligence is uniquely suited to solve problems where extensive amounts of data must be consumed to find patterns that can be applied in a predictive manner. Insure-AI focuses on the Insurance industry to deal with problems that are industry-wide, high-value, and are suitable for a third-party solution, such as Misrepresentation (Fraud) or Conversion (identifying digital leads that will become sales). Our solutions are applied to different insurance products and geographies; however, our initial solution is for Misrepresentation (Misrep) for Life Insurance in the UK market.
Our Life Insurance Misrep product (our first product implementation) is unique in the industry. We analyse over 750 data elements for Life, CI, and IP applications and embody leading edge techniques in our ML models and platform. Our Ensemble Model is extremely performant and has produced exemplary results. Furthermore, our Federated Learning platform allows us to streamline and rapidly increase our learning as we fuse ML algorithms from multiple training data sources without the need to share data. Finally, our experience with financial organisations has informed our platform development to be highly secure while enabling low cost of implementation, as it is delivered as AI-as-a-Service via web interface or API.
Insure-AI consists of a talented team that specialises in AI/ML and platform technology. We have decades of experience in financial services, business, AI/ML, cloud, and platform development. We have no illusions about the complexity of implementing effective predictive AI models, which is why we’ve chosen to specialise in this technology and industry to solve problems with clear business value. Our business model is to focus on value for Insurance companies via powerful models, low-cost implementation, and ease of use.
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